Most chatbot widgets dump the model's response as a single block of plain text. The model wrote three steps, a comparison table, and two links, but the visitor sees a wall of words. Lists collapse into commas. Code samples lose their indentation. URLs are rendered as raw strings, not clickable links. The result is that even a technically perfect answer feels unprofessional and hard to scan.

SleekAI parses the model's output as markdown on the way to the widget. Lists become bulleted lists. Headings become headings. Inline code spans get monospaced backgrounds. Tables become tables. Links become clickable, with target controls and rel attributes that match your site policy. The visitor sees a properly formatted reply, not a transcript. The model is also better at writing structured answers when it knows the output will render, so the prompt can ask for steps, comparisons, and tables and trust they'll display.

The renderer uses a safe markdown parser that strips dangerous HTML, removes script tags, and respects allowed-attribute lists. Custom styles map to your theme's typography by default and can be overridden with CSS variables. The same widget feels native on a docs site, a Shopify-style storefront, and an internal employee portal because it inherits whatever your theme has already styled.

A chatbot answer is content, and content has structure. Steps belong in a numbered list. Code belongs in a code block.

Choices belong in a table. When the widget can't render those structures, the model either gives up and writes everything as prose, or it writes the structure anyway and the visitor sees a mess of pipe characters and asterisks. Either way, the answer is less useful than it could be.

Rich markdown rendering closes that gap. The model can write the way it wants to write, and the widget meets it halfway. The reply is scannable.

Code is copy-paste ready. Comparisons are visual. Links work.

Users finish reading faster, act on the answer more often, and trust the bot more because it looks like the rest of the site. There's also a measurable effect on prompt design. When markdown renders, the system prompt can ask for structured output without worrying about the experience downstream.

'Reply with a comparison table when comparing two things' becomes a real instruction the model can follow. Before rich rendering, that instruction was abandoned in favor of vague prose because the alternative looked terrible. Safety matters too.

The renderer ships with an allowlist sanitizer because a chatbot is a place where untrusted text crosses into rendered HTML. Without sanitization, a jailbroken model could inject scripts. With it, the worst case is a rendering artifact.

SleekAI ships safe-by-default and configurable per bot, so the security floor is the same whether you tune it or not.